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Average Ratings 0 Ratings

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features
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support

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Write a Review

Description

Aquarium's innovative embedding technology identifies significant issues in your model's performance and connects you with the appropriate data to address them. Experience the benefits of neural network embeddings while eliminating the burdens of infrastructure management and debugging embedding models. Effortlessly uncover the most pressing patterns of model failures within your datasets. Gain insights into the long tail of edge cases, enabling you to prioritize which problems to tackle first. Navigate through extensive unlabeled datasets to discover scenarios that fall outside the norm. Utilize few-shot learning technology to initiate new classes with just a few examples. The larger your dataset, the greater the value we can provide. Aquarium is designed to effectively scale with datasets that contain hundreds of millions of data points. Additionally, we offer dedicated solutions engineering resources, regular customer success meetings, and user training to ensure that our clients maximize their benefits. For organizations concerned about privacy, we also provide an anonymous mode that allows the use of Aquarium without risking exposure of sensitive information, ensuring that security remains a top priority. Ultimately, with Aquarium, you can enhance your model's capabilities while maintaining the integrity of your data.

Description

Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

1forAll.ai No 
Alpaca No 
Astera AI Agent Builder No 
Athina AI No 
Atomic Chat No 
Bolna No 
BrandRank.AI No 
Chatbot Arena No 
FalkorDB No 
Graydient AI No 
Locally AI No 
NVIDIA DGX Cloud Serverless Inference No 
PromptPal No 
PromptX No 
Scottie No 
Snack Prompt No 
Undrstnd No 
Void Editor No 
WriteFastly No 

Integrations

1forAll.ai Yes 
Alpaca Yes 
Astera AI Agent Builder Yes 
Athina AI Yes 
Atomic Chat Yes 
Bolna Yes 
BrandRank.AI Yes 
Chatbot Arena Yes 
FalkorDB Yes 
Graydient AI Yes 
Locally AI Yes 
NVIDIA DGX Cloud Serverless Inference Yes 
PromptPal Yes 
PromptX Yes 
Scottie Yes 
Snack Prompt Yes 
Undrstnd Yes 
Void Editor Yes 
WriteFastly Yes 

Pricing Details

$1,250 per month
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Aquarium

Website

www.aquariumlearning.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

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